Statistical analysis of air conditioning peak loads of multiple dwellings

Tetsushi Ono, Aya Hagishima, Jun Tanimoto, Sheikh Ahmad Zaki, Naja Aqilah Hisham

Research output: Contribution to journalConference article

Abstract

Evaluation of the aggregated air-conditioning load of multiple dwellings is important for demand response through the optimum control of numerous air-conditioners (A/Cs), for development of smart-city or smart-community technologies. However, past studies have mainly focused on the characteristics of A/C load in a single household. With this background, the authors conducted statistical analysis of time-series data for A/C electricity consumption in 489 dwellings in Osaka, Japan, and 20 dwellings in Kuala Lumpur, Malaysia to grasp the feature of aggregated A/C load of multiple dwellings. The findings of this analysis are followings: 1) the aggregated A/C load peak per dwelling decreased by almost 50% as the number of dwellings increased from 1 to 10, due to the offset of the diverse time-patterns of A/C load. 2) The occurrence of the top 2.5% A/C load shows strong time and date dependency for an A/C load aggregated by many dwellings.

Original languageEnglish
Article number04057
JournalE3S Web of Conferences
Volume111
DOIs
Publication statusPublished - Aug 13 2019
Event13th REHVA World Congress, CLIMA 2019 - Bucharest, Romania
Duration: May 26 2019May 29 2019

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air conditioning
Air conditioning
Time series
Statistical methods
statistical analysis
Electricity
Air
Smart city
dwelling
time series
air

All Science Journal Classification (ASJC) codes

  • Environmental Science(all)
  • Energy(all)
  • Earth and Planetary Sciences(all)

Cite this

Statistical analysis of air conditioning peak loads of multiple dwellings. / Ono, Tetsushi; Hagishima, Aya; Tanimoto, Jun; Zaki, Sheikh Ahmad; Hisham, Naja Aqilah.

In: E3S Web of Conferences, Vol. 111, 04057, 13.08.2019.

Research output: Contribution to journalConference article

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